AI/ML Engineer

2 weeks ago

India DXFactor Full time

DXFactor is looking for AI/ML Engineer (3 to 6 Yrs) DXFactor is a US-based tech company working with fortune 500 customers across the globe. We have our presence in: - US - India (Ahmedabad, Bangalore) Web-site: www.DXFactor.com Location: Remote & Ahmedabad Employment Type: Full Time Job Summary: We are seeking an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence and at least one year of hands-on experience in Generative AI. The ideal candidate will have strong proficiency in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. You will be responsible for building innovative solutions leveraging the latest in AI technology to solve real-world problems. Key Responsibilities: - Design, develop, and deploy AI/ML solutions with an emphasis on generative models and LLMs. - Implement and optimize RAG pipelines for knowledge-aware AI systems. - Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications. - Build and manage agentic AI systems capable of autonomous planning and decision-making. - Work closely with cross-functional teams to identify use cases and deliver scalable AI-powered features. - Stay up-to-date with the latest developments in AI/ML and contribute to internal knowledge sharing. Required Skills & Qualifications: - 3+ years of experience in AI/ML development. - Minimum 1 year of hands-on experience in Generative AI projects. - Proficient in Python and common ML libraries (e.g., PyTorch, scikit-learn). - Strong understanding of Large Language Models (LLMs) and transformer architectures. - Experience building RAG pipelines and integrating vector search systems. - Hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers. - Experience developing agentic AI systems using frameworks like LangChain, AutoGen, or custom orchestration logic. - Experience on working with cloud platforms Tools & Technologies: - Frameworks & Libraries: LangChain, LlamaIndex, AutoGen, PyTorch, TensorFlow - Model Providers: OpenAI, Anthropic, Llama, Mistral - Vector Stores: FAISS, Pinecone, Milvus - APIs & Services: REST, GraphQL - DevOps & Infra: Docker, AWS/GCP/Azure

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